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Glama
Dinesh-Gahlot

mcp-indian-astrology

divine_get_varshphal_varsha_pravesh

Read-onlyIdempotent

Calculate the annual Varshphal chart for any year using birth details, offering Vedic astrology insights for that period.

Instructions

Get the Varshphal Varsha Pravesh (annual chart) for the given year and birth data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYesBirth details
varshphal_yearYesYear for the annual (varshphal) chart (e.g., '2024')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.9.1

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering safety. The description adds no extra behavioral context, such as what the annual chart contains or any calculation assumptions. It does not contradict annotations, but adds minimal value beyond the name.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, front-loaded with the key action and object. No wasted words. Efficient and to the point.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has a complex nested input schema with many required fields, but the output schema is present, so return values are covered. However, the description does not explain what Varshphal Varsha Pravesh is, when it is used, or how it differs from other annual chart tools. An agent can invoke it correctly from the schema, but lacks contextual understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for every parameter, so the schema carries the semantic load. The description only restates 'given year and birth data' without adding any detail about parameter formats, constraints, or relationships. It neither enhances nor detracts from the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Get'), the resource ('Varshphal Varsha Pravesh'), and its scope ('for the given year and birth data'). It is distinct from sibling tools like divine_get_varshphal_horoscope_chart or divine_get_lal_kitab_varsha_pravesh, as it explicitly targets the annual chart.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. The description does not mention any conditions, alternatives, or exclusions, despite many related varshphal tools and a Lal Kitab equivalent. An agent has no basis to differentiate it from siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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